The Integration of Nanotechnology, Artificial Intelligence (AI), Machine Learning (ML) and 3D-Bioprinting Approaches for Personalized COVID-19 Treatment DOI
Md Jasim Uddin, Amol D. Gholap, Tahseen Khan

et al.

Journal of Biomedical Nanotechnology, Journal Year: 2024, Volume and Issue: 20(12), P. 1759 - 1790

Published: Dec. 1, 2024

The COVID-19 pandemic has thrusted the world into a public health crisis, necessitating relentless pursuit of effective nanotechnological treatments alongside vaccination efforts. Coronavirus 2 (SARS-CoV-2, virus that causes COVID-19) can persist in blood and tissue for over year, causing long associated risks. As COVID continues to harm people worldwide, it is clear there are numerous vastly different ways which patients respond same SARS-CoV-2 virus, requiring personalized drug approach. In repurposing drugs COVID-19, silico methods, driven by computational simulations, have proven instrumental. harnessing power machine learning (ML), subset artificial intelligence (AI) tools, vast datasets existing diseases be efficiently analyzed choose right treatment. Significantly, this approach not only cost-effective but also expeditious, offering quicker more economical avenue than traditional discovery processes. study SARS-CoV-2, ML an approach, especially identifying targets potential therapeutic development Because models handle large, complex with ease, they powerful tools studying proteomic genetic data viruses. By discovering relationships data, help prioritize or genomic areas crucial viral replication, entry, evasion host barricades. This process lead identification possible targets. literature review article delves innovative using AI, 3D bioprinting (3DBP) battle COVID-19. provides detailed investigation targets, role AI various aspects management, integration 3DBP creating vitro agents precisely fabricate structures at nanoscale. doing so, highlights important treat today any future.

Language: Английский

Achieving Optimal Health With Host‐Directed Therapies (HDTs) in Infectious Diseases—A New Horizon DOI Creative Commons
Amol D. Gholap,

Pankaj R. Khuspe,

Sagar R. Pardeshi

et al.

Advanced Therapeutics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

Abstract Host‐directed therapies (HDTs) have emerged as a promising strategy to combat viral infections by modifying host factors and immune responses restrict replication improve patient outcomes. This review summarizes the latest advances future potential of HDTs in antiviral therapy. With developments genomics proteomics, new targets essential for been identified. Gene‐editing tools, such CRISPR‐Cas9, enable precise manipulation genes linked processes, paving way innovative HDTs. Emerging approaches, including RNA interference interference, further demonstrate specifically modify inhibit replication. Additionally, probiotics are being explored their capacity enhance modulate gut microbiota, offering natural safe method boosting defenses. Despite these advancements, significant challenges remain, particularly deciphering complex host–virus interactions ensuring safety efficacy therapies. Continued research clinical evaluation realize full provides comprehensive overview current HDT strategies, emphasizing promise shaping interventions.

Language: Английский

Citations

10
A Comprehensive Review on the Biomass-Mediated Synthesis of Silver Nanoparticles: Opportunities and Challenges DOI
Dinesh Kumar, Sunil Kumar,

Amol D. Gholap

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 115133 - 115133

Published: Dec. 1, 2024

Language: Английский

Citations

5
Lipid-based vaccines against viruses including COVID-19 DOI
Amol D. Gholap,

Pankaj R. Khuspe,

Md. Faiyazuddin

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 409 - 433

Published: Jan. 1, 2025

Language: Английский

Citations

0
Lipid-based drug delivery for systemic effect through pulmonary route of administration DOI
Md Jasim Uddin, Md. Faiyazuddin, Amol D. Gholap

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 255 - 299

Published: Jan. 1, 2025

Language: Английский

Citations

0
Surface modification of lipid based drug delivery for lungs DOI

S. Sharmila,

C. Karthikeyan,

Md. Faiyazuddin

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 319 - 335

Published: Jan. 1, 2025

Language: Английский

Citations

0
Current scenario and challenges of lipid-based nanomedicines for pulmonary drug delivery DOI
Amol D. Gholap,

Pankaj R. Khuspe,

Md. Faiyazuddin

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 21 - 47

Published: Jan. 1, 2025

Language: Английский

Citations

0
Computational Neuropharmacology in Psychiatry DOI

Amol D. Gholap,

Pankaj R. Khuspe,

Deepak K. Bharati

et al.

Published: April 17, 2025

Language: Английский

Citations

0
Sunscreens in the aquatic environment and potential solutions for mitigation of sunscreen pollution DOI
Ioanna Damikouka,

Maria Anastasopoulou,

Elizabeth Vgenopoulou

et al.

Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Language: Английский

Citations

1
Prospects and Ethics of ChatGPT in Biomedical Research and Medical Practice: An Emphasis on Nanotechnology DOI
Md. Faiyazuddin, Amol D. Gholap,

Shayan Maqsood

et al.

Journal of Biomedical Nanotechnology, Journal Year: 2024, Volume and Issue: 20(11), P. 1661 - 1678

Published: Nov. 1, 2024

This review delves into the transformative potential of ChatGPT, a cutting-edge language model developed by OpenAI, in biomedical research and medical applications, with an emphasis on nanotechnology. The paper is structured across five comprehensive sections, each highlighting distinct facets vast applications ChatGPT these fields. First, we explored its role expediting drug discovery delivery, from accelerating identification delivery methods to refining systems solving challenges. Second, it investigates impact scientific research, literature reviews aiding predictive modeling manuscript support. Third, this study addresses implications practice, administrative tasks patient care ethical considerations. fourth section scrutinizes concerns regarding confidentiality, quality care, equity, collaboration. Finally, culminates conclusive summary key findings, offering insights profound for practice. Applications nanotechnology, more specifically use nanomaterials medicine, are underscored throughout. Ultimately, offers innovative method that has significantly advance enhance heralding new epoch digital age.

Language: Английский

Citations

1
The Integration of Nanotechnology, Artificial Intelligence (AI), Machine Learning (ML) and 3D-Bioprinting Approaches for Personalized COVID-19 Treatment DOI
Md Jasim Uddin, Amol D. Gholap, Tahseen Khan

et al.

Journal of Biomedical Nanotechnology, Journal Year: 2024, Volume and Issue: 20(12), P. 1759 - 1790

Published: Dec. 1, 2024

The COVID-19 pandemic has thrusted the world into a public health crisis, necessitating relentless pursuit of effective nanotechnological treatments alongside vaccination efforts. Coronavirus 2 (SARS-CoV-2, virus that causes COVID-19) can persist in blood and tissue for over year, causing long associated risks. As COVID continues to harm people worldwide, it is clear there are numerous vastly different ways which patients respond same SARS-CoV-2 virus, requiring personalized drug approach. In repurposing drugs COVID-19, silico methods, driven by computational simulations, have proven instrumental. harnessing power machine learning (ML), subset artificial intelligence (AI) tools, vast datasets existing diseases be efficiently analyzed choose right treatment. Significantly, this approach not only cost-effective but also expeditious, offering quicker more economical avenue than traditional discovery processes. study SARS-CoV-2, ML an approach, especially identifying targets potential therapeutic development Because models handle large, complex with ease, they powerful tools studying proteomic genetic data viruses. By discovering relationships data, help prioritize or genomic areas crucial viral replication, entry, evasion host barricades. This process lead identification possible targets. literature review article delves innovative using AI, 3D bioprinting (3DBP) battle COVID-19. provides detailed investigation targets, role AI various aspects management, integration 3DBP creating vitro agents precisely fabricate structures at nanoscale. doing so, highlights important treat today any future.

Language: Английский

Citations

0